Experience from the basic theory for machine
learning to the algorithm for implementation
Deep learning training available Provides
services for machine learning and deep learning using TensorFlow for high
performance numerical computation
Provides practical exercises for Neural
Network
CUDA, a GPU-based high-speed parallel
computing technology, enables calculations 10 times faster than regular
CPUs
Provides real-time AI exercises implemented by
CUDA high-speed parallelism
Provides real-time image processing service
using the attached camera Practice image classification, labeling, and deep
learning for object recognition Provides Data set for traffic light
recognition
Arduino integrated development environment
allows anyone to quickly and easily implement firmware for electronic device
control. Based on development environment using Processing/ Wiring language, it
is effective to develop Interactive Object, easy to operate microcontroller,
and easy to program via USB
Intelligent robot that autonomously drives by
detecting and determining acceleration, vibration, shock and motion information
of robot with built-in acceleration and gyroscope sensor
DC Geared motor has built-in encoder to detect
the motor’s operation status and calculate rotation direction and speed
Precise steering control using Servo motor and
the rotation of the front wheel for the direction of travel are possible
It is possible to acquire the technology to
utilize the ultrasonic sensor, and to learn various things such as object
detection and obstacle recognition by intelligent robot application
It is a self-driving robot equipped with LiDAR
sensor, so that you can learn about ROS and SLAM.
It provides distance measurement and object
angle measurement using LiDAR and optimized path search algorithm.